auto shape = llvm::to_vector<4>(inputType.getShape());
      llvm::SmallVector<int64_t, 4> bounds(shape.begin(), shape.end());
      // Mark the dim as dynamic dim.
      shape[0] = ShapedType::kDynamic;
      auto extensions =
          mhlo::TypeExtensionsAttr::get(func->getContext(), bounds);
      auto resultType =
          RankedTensorType::get(shape, inputType.getElementType(), extensions);

stderr '^go: cannot find GOROOT directory: ''go'' binary is trimmed and GOROOT is not set$'
! stderr 'GOPATH set to GOROOT'

# Relocated Tree:
# If the binary is sitting in a bin dir next to ../pkg/tool, that counts as a GOROOT,
# so it should find the new tree.
mkdir $WORK/new/pkg/tool
exec $WORK/bin/check$GOEXE $WORK/new/bin/go$GOEXE $WORK/new
exec $WORK/bin/check$GOEXE $WORK/new/bin/${GOOS}_${GOARCH}/go$GOEXE $WORK/new

func (buf *realLineBuffer) MarshalLog() any {
	return strings.Split(buf.b.String(), "\n")
}

type discardLineBuffer struct {
	lines int
}

// NewDiscardLineBuffer returns a dummy LineBuffer that counts the number of writes but
// throws away the data. (This is used for iptables proxy partial syncs, to keep track of
// how many rules we managed to avoid having to sync.)
func NewDiscardLineBuffer() LineBuffer {

// It must be used from one goroutine at a time.
// If used by multiple goroutines at a time, the goroutines
// may see the same random values, but the code will not
// crash or cause out-of-bounds memory accesses.
type State struct {
	buf  [32]uint64
	seed [4]uint64
	i    uint32
	n    uint32
	c    uint32
}

// Next returns the next random value, along with a boolean

// - a map recording the index/ID of each func encountered so far
// - a table storing execution count for the coverable units in each func
type pstate struct {
	// slice of unique functions
	funcs []fnfile
	// maps function to index in slice above (index acts as function ID)
	funcTable map[fnfile]uint32

	// A table storing coverage counts for each coverable unit.
	unitTable map[extcu]uint32
}

using mlir::PassManager;
using mlir::func::FuncOp;

auto *tf_dialect_to_executor_dialect_status = tsl::monitoring::Counter<1>::New(
    "/tensorflow/core/tf2xla/api/v2/tf_dialect_to_executor_dialect_status",
    "Counts how often a successful export from TF Dialect to Executor Dialect "
    "is",
    "status");

constexpr char kExportSuccess[] = "success";
constexpr char kExportFailed[] = "failed";

namespace {

		return U // for non-interface types,
	}

	terms, err := NormalTerms(U)
	if len(terms) == 0 || err != nil {
		// len(terms) -> empty type set of interface.
		// err != nil => U is invalid, exceeds complexity bounds, or has an empty type set.
		return nil // no core type.
	}

	U = terms[0].Type().Underlying()
	var identical int // i in [0,identical) => Identical(U, terms[i].Type().Underlying())

using mlir::PassManager;
using mlir::func::FuncOp;

auto *tf_dialect_to_executor_dialect_status = tsl::monitoring::Counter<1>::New(
    "/tensorflow/core/tf2xla/api/v1/tf_dialect_to_executor_dialect_status",
    "Counts how often a successful export from TF Dialect to Executor Dialect "
    "is",
    "status");

constexpr char kExportSuccess[] = "success";
constexpr char kExportFailed[] = "failed";

namespace {

 */

package org.gradle.workers.internal

import org.gradle.integtests.fixtures.AbstractIntegrationSpec
import org.gradle.workers.fixtures.WorkerExecutorFixture

/**
 * Verifies that we can spawn large amounts of workers without running out of memory, because the old ones will be killed
 * if necessary.
 *
 * <p>
 *     This mostly is a test for Windows, as other OSes have effectively-unlimited virtual memory, and won't need to kill

   * this range map are guaranteed to read through to the returned {@code Map}.
   *
   * <p>The returned {@code Map} iterates over entries in ascending order of the bounds of the
   * {@code Range} entries.
   *
   * <p>It is guaranteed that no empty ranges will be in the returned {@code Map}.
   */
  Map<Range<K>, V> asMapOfRanges();

  /**